alvarobartt/mistral-7b-orpo-alignment-handbook

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mistral-7b-orpo-alignment-handbook

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the argilla/dpo-mix-7k dataset. It achieves the following results on the evaluation set:

• —Loss: 0.8562
• —Rewards/chosen: -0.0394
• —Rewards/rejected: -0.0485
• —Rewards/accuracies: 0.6615
• —Rewards/margins: 0.0091
• —Logps/rejected: -0.9709
• —Logps/chosen: -0.7882
• —Logits/rejected: -2.9442
• —Logits/chosen: -2.9335
• —Nll Loss: 0.8317
• —Log Odds Ratio: -0.6241
• —Log Odds Chosen: 0.3600

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 5e-07
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 64
• —totalevalbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —lrschedulerwarmup_steps: 100
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.39.0.dev0
• —Pytorch 2.2.1+cu121
• —Datasets 2.14.6
• —Tokenizers 0.15.2